LENOVO 21Q6CTO1WW
Geekbench AI Score
6783
Single Precision Score
12502
Half Precision Score
4660
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | billybobsmoot |
| Upload Date | January 13 2026 03:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21Q6CTO1WW |
| Motherboard | LENOVO 21Q6CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3251
604.6 IPS |
|
|
Image Classification (HP)
|
100% |
4128
767.6 IPS |
|
|
Image Classification (Q)
|
100% |
2478
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6486
105.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12881
208.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4568
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10849
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29915
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10060
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
4950
392.6 IPS |
|
|
Object Detection (HP)
|
100% |
9012
714.8 IPS |
|
|
Object Detection (Q)
|
88% |
3870
310.4 IPS |
|
|
Face Detection (SP)
|
100% |
9337
110.9 IPS |
|
|
Face Detection (HP)
|
100% |
17394
206.7 IPS |
|
|
Face Detection (Q)
|
97% |
6568
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17782
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37971
292.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
11719
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
45707
58.8 IPS |
|
|
Style Transfer (HP)
|
100% |
147830
190.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34142
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7338
270.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16174
597.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4709
174.4 IPS |
|
|
Text Classification (SP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (Q)
|
97% |
714
956.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1242
23.3 IPS |
